Homework Answers
Que.
If we add more independent variables to the model then R-squared and Adjusted R-squared would increase.
Because new added variable explain some more variability in the dependent variable wage.
Que.15
About 15%
Because, coefficient of determination = R2 = 0.148 = 0.15
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Consider the STATA output below, in which the outcome variable is wage (rate of pay in...
Question 16 5 pts Consider the STATA output below, in which the outcome variable is average...
Question 16 5 pts Consider the STATA output below, in which the outcome variable is average life expectancy of the population in years (le) and the independent variable is the current year (year, i.e. 1992, 1993, etc.) repress le year Source MS Model 7618.91335 17618.91335 sa 6.99237146 Number of obs 140 FI 1. 98) - 2089.60 Prob > F Adj R-square - 0.9166 Rat SE 2.5443 What Total 8364.16566 93 33.6884612 le Coet. Std. Er (95 Cont. Intervall 74271404916 23.01.900...
Consider the STATA output below, in which the outcome variable is wage (rate of pay in...
Consider the STATA output below, in which the outcome variable is wage (rate of pay in dollars per hour) and the independent variables are total years of experience (ttl_exp), total years in current position (tenure), and number of years of school completed (grade). regrons wage top tenure prade Source 55 df MS Number of obs- 2225) - 120.02 0.000 Model 10363.7014 1364.56714 63124.2663 2225 20.3704588 74887.68 2220 39.2531214 Adj R-squared - 6.1468 Rot MSE wape Coet. Std. Err. 1954 Conf....
Given the following regression output in Stata Indicate what is the effect of x2 on Y...
Given the following regression output in Stata
Indicate what is the effect of x2 on Y by testing the hypothesis
that x2 determines Y given
· regress y xl x2 Source SS dEMS Model Residual 2.6644e+092 1.3322e+09 26878436.6 12 2239869.72 Number of obs = F( 2, 12) = Prob > F R-squared Adj R-squared = Root MSE 15 594.76 0.0000 0.9900 0.9883 1496.6 Total 2.6912e+0914 2.6912 192231167 Coef. Std. Err. t >It (95% Conf. Intervall x1 2.44061 .3440342 -32137.37 6.125326...
You are given different sets of Stata output below. Please use the appropriate Stata output to...
You are given different sets of Stata output below. Please use the appropriate Stata output to answer questions below.log price is the natural log of price. a. Write the estimated equation from a regression of log price on mpg, weight, headroom, and trunk. Interpret each coefficient. b. Test if headroom and trunk have no effect on price. Please show your work. Source | SS df MS Model Residual 3.82089653 7.40263655 4 69 .955224132 .107284588 Number of obs = FC 4,...
A researcher is examining the effect of number of years in a particular job (tenure) on...
A researcher is examining the effect of number of years in a particular job (tenure) on the hourly wage (USD) earned. She estimates two regression models using data on 124 young women surveyed in 1988. In the first regression, she regressed logged hourly wage on logged tenure in the current job (years in current job). In the second regression she regressed logged hourly wage on logged tenure in the current job, as well as age, total years of schooling completed,...
A researcher is examining the effect of number of years in a particular job (tenure) on...
A researcher is examining the effect of number of years in a
particular job (tenure) on the hourly wage (USD) earned. She
estimates two regression models using data on 124 young women
surveyed in 1988. In the first regression, she regressed logged
hourly wage on logged tenure in the current job (years in current
job). In the second regression she regressed logged hourly wage on
logged tenure in the current job, as well as age, total years of
schooling completed,...
. There is Stata output from a second OLS regression model with the variables defined as...
. There is Stata output from a second OLS regression model with the variables defined as above. This time we include an interaction term "ageXgender" for the independent variables "age" and "gender." Use this output to answer parts g through i. regress casp age gender married agexgender df Number of obs- Source | 4,849 137.04 0.0000 0.1017 0.1009 6.0079 MS +FC4, 4844) 4,844 36.0944447 R-squared Model 19785.9491 4 4946.48728 Prob > F Residual 174841.49 Adj R-squared + Total 194627.439 4,848...
Consider the relationship between hourly wage rate and education attainment. A random sample of 21 male...
Consider the relationship between hourly wage rate and education attainment. A random sample of 21 male workers was collected to estimate the following model Y; = Bo + B1X; + uj, for i = 1,..., 21. Here, Y; is the logarithm of hourly wage rate, log(wage), for the i-th worker. Xi is the education level, husedu, of the i-th worker, which is measured as the years of schooling, and uị is the error term for the i-th worker. The ordinary...
The top stata output is a regression on how the sex of a person affects gross...
The top stata output is a regression on how the sex of a
person affects gross weekly pay after the implementation on the
equal pay act
The bottom stata output is a regression on how the sex
of a person affects gross weekly pay before the implementation on
the 2010 equal pay
How has the gender pay gap change before and after the
act? Is the change significant and what assumption justify using
Before the act as a control group?...
ces of this Supplement will NOT be waded: write you r supplement Page 5 of plement...
ces of this Supplement will NOT be waded: write you r supplement Page 5 of plement for Question (1): Recal "Parents Belies About The Children's d is Ahimolitions for Educational Investments wh i ces101757/2017 Denons 2019 does periment with 5,268 children from 39 randomly selected primary schools in two districts in Malawi. Tablet excerpt from a larger table. It reports some summary Matistics for the sample All vores are out of 100 possible points. Chichewa is the local language. Table...
Question 16 5 pts Consider the STATA output below, in which the outcome variable is average life expectancy of the population in years (le) and the independent variable is the current year (year, i.e. 1992, 1993, etc.) repress le year Source MS Model 7618.91335 17618.91335 sa 6.99237146 Number of obs 140 FI 1. 98) - 2089.60 Prob > F Adj R-square - 0.9166 Rat SE 2.5443 What Total 8364.16566 93 33.6884612 le Coet. Std. Er (95 Cont. Intervall 74271404916 23.01.900...
Consider the STATA output below, in which the outcome variable is wage (rate of pay in dollars per hour) and the independent variables are total years of experience (ttl_exp), total years in current position (tenure), and number of years of school completed (grade). regrons wage top tenure prade Source 55 df MS Number of obs- 2225) - 120.02 0.000 Model 10363.7014 1364.56714 63124.2663 2225 20.3704588 74887.68 2220 39.2531214 Adj R-squared - 6.1468 Rot MSE wape Coet. Std. Err. 1954 Conf....
Given the following regression output in Stata
Indicate what is the effect of x2 on Y by testing the hypothesis
that x2 determines Y given
· regress y xl x2 Source SS dEMS Model Residual 2.6644e+092 1.3322e+09 26878436.6 12 2239869.72 Number of obs = F( 2, 12) = Prob > F R-squared Adj R-squared = Root MSE 15 594.76 0.0000 0.9900 0.9883 1496.6 Total 2.6912e+0914 2.6912 192231167 Coef. Std. Err. t >It (95% Conf. Intervall x1 2.44061 .3440342 -32137.37 6.125326...
You are given different sets of Stata output below. Please use the appropriate Stata output to answer questions below.log price is the natural log of price. a. Write the estimated equation from a regression of log price on mpg, weight, headroom, and trunk. Interpret each coefficient. b. Test if headroom and trunk have no effect on price. Please show your work. Source | SS df MS Model Residual 3.82089653 7.40263655 4 69 .955224132 .107284588 Number of obs = FC 4,...
A researcher is examining the effect of number of years in a particular job (tenure) on the hourly wage (USD) earned. She estimates two regression models using data on 124 young women surveyed in 1988. In the first regression, she regressed logged hourly wage on logged tenure in the current job (years in current job). In the second regression she regressed logged hourly wage on logged tenure in the current job, as well as age, total years of schooling completed,...
A researcher is examining the effect of number of years in a
particular job (tenure) on the hourly wage (USD) earned. She
estimates two regression models using data on 124 young women
surveyed in 1988. In the first regression, she regressed logged
hourly wage on logged tenure in the current job (years in current
job). In the second regression she regressed logged hourly wage on
logged tenure in the current job, as well as age, total years of
schooling completed,...
. There is Stata output from a second OLS regression model with the variables defined as above. This time we include an interaction term "ageXgender" for the independent variables "age" and "gender." Use this output to answer parts g through i. regress casp age gender married agexgender df Number of obs- Source | 4,849 137.04 0.0000 0.1017 0.1009 6.0079 MS +FC4, 4844) 4,844 36.0944447 R-squared Model 19785.9491 4 4946.48728 Prob > F Residual 174841.49 Adj R-squared + Total 194627.439 4,848...
Consider the relationship between hourly wage rate and education attainment. A random sample of 21 male workers was collected to estimate the following model Y; = Bo + B1X; + uj, for i = 1,..., 21. Here, Y; is the logarithm of hourly wage rate, log(wage), for the i-th worker. Xi is the education level, husedu, of the i-th worker, which is measured as the years of schooling, and uị is the error term for the i-th worker. The ordinary...
The top stata output is a regression on how the sex of a
person affects gross weekly pay after the implementation on the
equal pay act
The bottom stata output is a regression on how the sex
of a person affects gross weekly pay before the implementation on
the 2010 equal pay
How has the gender pay gap change before and after the
act? Is the change significant and what assumption justify using
Before the act as a control group?...
ces of this Supplement will NOT be waded: write you r supplement Page 5 of plement for Question (1): Recal "Parents Belies About The Children's d is Ahimolitions for Educational Investments wh i ces101757/2017 Denons 2019 does periment with 5,268 children from 39 randomly selected primary schools in two districts in Malawi. Tablet excerpt from a larger table. It reports some summary Matistics for the sample All vores are out of 100 possible points. Chichewa is the local language. Table...
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